Optimization & Experimentation
Fine-tune prompts for production
🎯 Control Output Length
Tokens = cost. Be explicit about desired length to avoid paying for unnecessary output.
❌ Vague:
Could generate 10 words or 1000 words!
✅ Specific:
Clear expectations, controlled cost
💡 Length Specifications:
🔧 Use Variables for Dynamic Prompts
Create template prompts with variables you can swap out. Perfect for production systems!
Template Example:
Prompt Template:
Example Usage:
RECIPIENT = "customer"
TOPIC = "order delay"
WORD_COUNT = 100
Benefits:
🧪 Experiment with Output Formats
The same content, different formats. Test to see what works best:
Bullet Points
Easy to scan
Numbered Lists
Shows sequence
Tables
Compare data
JSON
Machine-readable
Markdown
Rich formatting
Code Blocks
Technical content
📊 A/B Test Your Prompts
Just like UI design, test different prompt variations to see what gives better results.
Test Variables:
📈 Measure Success:
Track: accuracy, response time, user satisfaction, cost per request
✅ Optimization Checklist
Specify exact output length to control tokens
Use template variables for reusability
Test multiple output formats
A/B test prompt variations
Measure accuracy vs cost trade-offs
Cache common responses when possible
Use lower temp (0.3) for consistency
Set max_tokens limit to prevent runaway costs
Document what works for future reference
🎓 Key Takeaways
Always specify output length to control token usage and cost
Use variables/templates for reusable, scalable prompts
Experiment with different output formats
A/B test prompt variations to optimize performance
Track metrics: accuracy, speed, cost, user satisfaction
Set max_tokens limit to prevent runaway costs
Document successful patterns for team reuse
Production prompts need optimization, not just functionality
Module 9 of 10 Complete